class_docstr: Embedding Frontend for text based inputs.
docstr: Return output length of feature dimension D, i.e. the embedding dim.
docstr_tok: ["Return","output","length","of","feature","dimension","D",",","i.e",".","the","embedding","dim","."]
code: def output_size(self) -> int:
      """Return output length of feature dimension D, i.e. the embedding dim."""
      return self.embed_dim
  
file_path: espnet/espnet2/mt/frontend/embedding.py
imports: from typing import Tuple
  import torch
  from typeguard import check_argument_types
  from espnet2.asr.frontend.abs_frontend import AbsFrontend
  from espnet.nets.pytorch_backend.transformer.embedding import PositionalEncoding
label_desc: Use image node_id 3 for calling the Embedding obj's underlying member method code with example usage: obj.output_size() and returns: self